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[Keyword] unranking(3hit)

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  • Gray-Code Ranking and Unranking on Left-Weight Sequences of Binary Trees

    Ro-Yu WU  Jou-Ming CHANG  Sheng-Lung PENG  Chun-Liang LIU  

     
    PAPER

      Vol:
    E99-A No:6
      Page(s):
    1067-1074

    Left-weight sequences (LW-sequences for short) are in common currency for encoding binary trees. In [16], Wu et al. proposed an algorithm associated with tree rotations for listing all binary trees in diverse representations including LW-sequences. In particular, such a list of LW-sequences is generated in Gray-code order. In this paper, based on this ordering, we present efficient ranking and unranking algorithms. For binary trees with n internal nodes, the time complexity and the space requirement in each of our ranking and unranking algorithms are O(n2) and O(n), respectively.

  • Ranking and Unranking of Non-regular Trees in Gray-Code Order

    Ro-Yu WU  Jou-Ming CHANG  An-Hang CHEN  Ming-Tat KO  

     
    PAPER

      Vol:
    E96-A No:6
      Page(s):
    1059-1065

    A non-regular tree T with a prescribed branching sequence (s1,s2,...,sn) is a rooted and ordered tree such that its internal nodes are numbered from 1 to n in preorder and every internal node i in T has si children. Recently, Wu et al. (2010) introduced a concise representation called RD-sequences to represent all non-regular trees and proposed a loopless algorithm for generating all non-regular trees in a Gray-code order. In this paper, based on such a Gray-code order, we present efficient ranking and unranking algorithms of non-regular trees with n internal nodes. Moreover, we show that the ranking algorithm and the unranking algorithm can be run in O(n2) time and O(n2+nSn-1) time, respectively, provided a preprocessing takes O(n2Sn-1) time and space in advance, where .

  • Ranking and Unranking of t-Ary Trees Using RD-Sequences

    Ro-Yu WU  Jou-Ming CHANG  Yue-Li WANG  

     
    PAPER

      Vol:
    E94-D No:2
      Page(s):
    226-232

    In this paper, we introduce a concise representation, called right-distance sequences (or RD-sequences for short), to describe all t-ary trees with n internal nodes. A result reveals that there exists a close relationship between the representation and the well-formed sequences suggested by Zaks [Lexicographic generation of ordered trees, Theoretical Computer Science 10 (1980) 63-82]. Using a coding tree and its concomitant tables, a systematical way can help us to investigate the structural representation of t-ary trees. Consequently, we develop efficient algorithms for determining the rank of a given t-ary tree in lexicographic order (i.e., a ranking algorithm), and for converting a positive integer to its corresponding RD-sequence (i.e., an unranking algorithm). Both the ranking and unranking algorithms can be run in O(tn) time and without computing all the entries of the coefficient table.